Software Engineer*

Software Engineer*

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Mitra bio

At a Glance

  • Tasks: Refactor code, optimise cloud infrastructure, and collaborate with data scientists.
  • Company: Mitra Bio, a pioneering skincare tech company backed by top investors.
  • Benefits: 25 days annual leave, public holidays, and a supportive team culture.
  • Other info: Inclusive environment with strong feedback culture and career growth opportunities.
  • Why this job: Join a mission-driven team transforming skincare through innovative technology.
  • Qualifications: 5+ years in software development, expert in Python, and experience with AI models.

The predicted salary is between 60000 - 80000 € per year.

Company Description Mitra Bio is building the future of skincare through epigenetics, longevity science, and data. Backed by Khosla Ventures, Illumina, and Innovate UK, we help people better understand their skin over time using simple, non-invasive skin sampling and advanced data analysis. Our goal is to make highly personalised skincare more effective, accessible, and science-driven.

We are looking for a skilled software engineer to help the Engineering Team refactor the ‘research-level’ code into production-ready code.

  • Expanding and optimising our cloud & AI infrastructure and data pipeline architecture
  • Optimising data flow and collection throughout our custom-built Clinical Management Interface (CMI)
  • Partnering closely with the Data Science Team to support seamless integration with their pipelines

Minimum 5 years professional software development experience

  • Expert proficiency in Python in software development and data science/processing
  • Proven experience in refactoring 'research-level' code into production-ready software
  • Proven experience working with large data, data models, deploying and using AI models
  • Software skills including: OOP, test-driven development, unit testing (pytest), Git, CI/CD
  • Clear technical writing/documenting
  • Familiarity with cloud environments (ideally AWS)

25 days of annual leave, plus public holidays in England and Wales

A collaborative, ambitious team of scientists, engineers, and operators building something genuinely new

Strong in-person/hybrid culture, fast feedback loops, and zero bureaucracy

Diversity, Equity, and Inclusion We are committed to building an inclusive environment where people feel respected, supported, and empowered to do their best work. We are committed to creating a fair and accessible hiring process and building a team that reflects the diverse communities we serve.

Software Engineer* employer: Mitra bio

Mitra Bio is an exceptional employer for software engineers, offering a dynamic and innovative work environment where cutting-edge technology meets personalised skincare solutions. With a strong emphasis on collaboration, employee growth, and a commitment to diversity and inclusion, team members enjoy 25 days of annual leave, a hybrid work culture, and the opportunity to contribute to meaningful projects that make a real impact in the field of epigenetics and data science.

Mitra bio

Contact Detail:

Mitra bio Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer*

Tip Number 1

Network like a pro! Reach out to current employees at Mitra Bio on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.

Tip Number 2

Show off your skills! Prepare a portfolio of your best projects, especially those involving Python and data processing. This will help you stand out during interviews and showcase your expertise.

Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and algorithms. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Mitra Bio.

We think you need these skills to ace Software Engineer*

Python
Software Development
Data Science
Refactoring Code
OOP (Object-Oriented Programming)
Test-Driven Development
Unit Testing (pytest)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python and refactoring code. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background in software development can help us build the future of skincare.

Showcase Your Technical Skills:Don’t forget to mention your experience with OOP, test-driven development, and cloud environments like AWS. We love seeing candidates who can clearly communicate their technical expertise!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Mitra bio

Know Your Code Inside Out

Make sure you can discuss your past projects in detail, especially any experience with refactoring 'research-level' code. Be ready to explain your thought process and the challenges you faced while transforming that code into production-ready software.

Brush Up on Python and Data Skills

Since expert proficiency in Python is a must, review key concepts and be prepared to solve coding problems on the spot. Familiarise yourself with data processing techniques and be ready to discuss how you've worked with large datasets and AI models in previous roles.

Understand Cloud Environments

Familiarity with cloud environments, particularly AWS, is crucial. Do some research on how Mitra Bio uses cloud infrastructure and be prepared to discuss your experience with deploying applications in the cloud and optimising data flow.

Communicate Clearly and Collaboratively

Given the collaborative nature of the role, practice articulating your ideas clearly. Be ready to discuss how you've partnered with data science teams in the past and how you approach technical writing and documentation to ensure seamless integration.